Code for fitting a negative binomial distribution in Python
Geographically Weighted Negative Binomial Regression in Python - local spatial modeling for over dispersed count data.
RNS-Seq Count Model Explorer
End-to-end Bayesian ML platform for county overdose modeling with PostgreSQL, PyMC, MLflow, FastAPI, Streamlit, and grounded AI.
Experimentation framework for synthetic accounting data with seven statistical designs, reproducible assignments, causal analysis, guardrails, power checks, and decision reporting.
Why RNA-seq counts are negative-binomial not Poisson: overdispersion, the mean-variance trend, and the zero-inflation myth.
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